Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Research Article

Legume Research, volume 46 issue 6 (june 2023) : 700-704

Genetic Variability for Yield and Its Related Traits in Green gram [Vigna radiata (L.) Wilczek]

Mohd Abdus Subhan Salman1, Ch. Anuradha1,*, V. Sridhar2, E. Ram Babu1, SNCVL Pushpavalli1
1Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad-500 030, Telangana, India.
2Agricultural Research Station (ARS), Madhira, Khammam-507 203, Telangana, India.

  • Submitted17-08-2020|

  • Accepted21-01-2021|

  • First Online 01-03-2021|

  • doi 10.18805/LR-4484

Cite article:- Salman Subhan Abdus Mohd, Anuradha Ch., Sridhar V., Babu Ram E., Pushpavalli SNCVL (2023). Genetic Variability for Yield and Its Related Traits in Green gram [Vigna radiata (L.) Wilczek] . Legume Research. 46(6): 700-704. doi: 10.18805/LR-4484.

ABSTRACT

Background: Green gram [Vigna radiata (L.) Wilczek] is an ancient and well known pulse crop of Asian countries. Specific traits should be considered for high yield in green gram as selection criteria in future breeding program.

Methods: The investigation material comprised of 128 F6 RIL (Recombinant Inbred LINE) population sown at college farm, Professor Jayashankar Telangana State Agricultural University during Rabi-2019-20. The yield and yield attributes were recorded to conduct genetic variability, heritability broad sense (h2), genetic advance (GA) and genetic advance as % of mean (GAM).

Result: Analysis of variance revealed significant differences among the RILs, indicating the presence of genetic variability for almost all the traits studied. High PCV and GCV estimates was noticed for number of pods per plant, seed yield per plant, number of cluster per plant and number of pods per cluster. High heritability along with high genetic advance as per cent of mean was observed for number of pods per plant, seed yield per plant, number of cluster per plant, number of pods per cluster, number of branches per plant, number of seeds per pod and plant height indicating the role of additive genes in governing the inheritance of these traits and could be improved through selection. The traits viz. seed yield per plant, number of pods per plant, number of clusters per plant and number of pods per cluster had recorded high PCV, GCV, high heritability along with high genetic advance as per cent of mean indicated these traits were less influenced by environment and possess high genetic variability. Hence these RILs would be suitable for green gram breeding programmes to develop improved varieties. The present findings of the RIL population will be useful for development of high seed yielding variety in green gram.

INTRODUCTION

Green gram [Vigna radiata (L.) R. Wilczek var. radiate], also known as Mung bean or moong, is an important legume crop in countries of Asia, Africa and latin America, belonging to the papilionoid subfamily of genus Vigna, sub genus Ceratotrophis and family Fabaceae. Green gram [Vigna radiata (L.) R. Wilczek] has been cultivated in India since prehistoric times and is considered to be a native crop of India (Vavilov, 1926). Green gram protein is easily digested without flatulence. The protein is comparatively rich in lysine, an amino acid that is deficient in cereal grains but cereals are rich in methionine, cystine and cysteine, the sulphur bearing amino acid. Green gram is accentuated due to its nutritional value. Hundred gram of green gram seeds contains energy (234 cal), Protein (24.6%), fat (1.0%), fiber (2.2 g), carbohydrates (57.5%), calcium (0.08 g), phosphorus (0.045 g) and iron (5.7 mg), vitamin B (300 mg) and thiamin (0.525 mg) (Srivastava and Ali, 2004). Green gram is a self-pollinated diploid grain legume (2n=2x=22) crop with a small genome size of 579 Mb/1C (Arumuganathan et al., 1991). This crop play an important role in crop rotation due to their ability to fix atmospheric nitrogen, thus growing green gram helps to improve soil fertility and benefit subsequent crops.
 
Selection of superior parents exhibiting better heritability and genetic advance for various characters is an essential prerequisite for any yield improvement programme. Genetic variability with the help of suitable parameters such as genotypic and phenotypic coefficient of variation, heritability and genetic advance are absolutely necessary to start an efficient breeding program. Studies on genetic diversity are of considerable importance to classify the available genotypes into discrete classes, so that the parents belonging to diverse groups can be selected. The present study is formulated to study the genetic variability, heritability and genetic advance in green gram Recombinant Inbred LINEs (RILs).

MATERIALS AND METHODS

 
The Experimental material comprised of 128 F6 RIL (Recombinant Inbred LINE) population derived from a cross of MGG-295 and WGG-42. The experiment was laid out in a randomised completely block design (RBD) consisting of 128 RILs of green gram in two replications, sown at college farm, Professor Jayashankar Telangana State Agricultural University during Rabi-2019-20. Each RIL lines were grown in 2 rows of 4m length with row to row spacing of 30 cm and plant to plant spacing of 10 cm. Observations for all the yield and yield contributing traits were recorded on five plants in each RIL.
 
The data was recorded for twelve yield related traits viz., days to initial flowering, days to 50% flowering, days to maturity, number of branches per plant, number of clusters per plant, number of pods per clusters, number of pods per plant, number of seeds per pod, plant height (cm), pod length (cm), seed yield per plant (g) and hundred seed weight (g). The data recorded on the above characters were subjected to statistical analysis such as analysis of variance (Fisher, 1936), coefficient of variation (Burton and Devane, 1953) and genetic advance (Johnson et al., 1955).

RESULTS AND DISCUSSION

Analysis of variance
 
The mean values of quantitative traits of five randomly selected plants in each of the RIL and check entries were used for statistical analysis. Mean data for twelve characters were subjected to analysis of variance for experimental design. The mean sum of squares with respect to various morphological traits has been given in Table 1. The analysis of variance as a measure of variability revealed significant differences amongst the RILs for all the characters. Rao et al., (2006), Singh et al., (2009), Reddy et al., (2011), Hemavathy et al., (2015) and Dhoot et al., (2017) also reported significant differences for all the characters studied. The existence of satisfactory variability indicated that the RIL population of green gram under research was good enough for further study (Table 1).

Table 1: Analysis of variance for various traits in green gram.


 
GCV and PCV estimates
 
Phenotypic coefficient of variation (PCV) was found higher than that of genotypic coefficient of variation (GCV) for all the traits, suggesting the role of environmental factors on various characters, also suggested by Khajudparn and Tantasawat (2011). The genotypes showed significant differences in respect of all the characters studied (Table 2).

Table 2: Magnitude of Variability and estimates of heritability and genetic advance for various characters in RILs of green gram.


 
Genotypic coefficient of variation (GCV)
 
GCV ranged from 4.201 per cent (days to 50% flowering) to 46.172 per cent (number of pods per plant). High GCV was observed for number of pods per plant (46.172), seed yield per plant (38.104), number of pods per clusters (32.539), number of cluster per plant (28.514). Number of seeds per pod (12.05), Number of branches per plant (14.925) and plant height (12.563) exhibited moderate GCV. Low GCV  was exhibited by 100 seed weight (9.537), days to initial flowering (4.722), Days to maturity (4.291), Days to 50% flowering (4.201) (Table 2).
 
Phenotypic coefficient of variation (PCV)
 
The PCV ranged from 7.049 per cent (days to 50% flowering) to 46.254 per cent (number of pods per plant). High PCV was observed for number of pods per plant (46.254), seed yield per plant (38.587), number of pods per cluster (33.078) and number of clusters per plant (28.984). Moderate PCV was noticed in number of seeds per pod (17.716), number of branches per plant (15.617), hundred seed weight (13.77) and plant height (13.408). Days to maturity (8.941), Pod length (8.64) and days to initial flowering (7.375), days to 50% flowering (7.049) exhibited low PCV. (Table 2).
 
High PCV and GCV estimates for pods per plant, seed yield per plant were reported by Rao et al., (2006), Raturi et al., (2015), Anand et al., (2016), Garg et al., (2017) and Parimala et al., (2020). High PCV and GCV estimates for pods per plant was observed by Talukdar et al., (2020). Moderate PCV and GCV were found for plant height, number of branches per plant, number of seeds per pod and 100 seed weight. Similar results were also observed by Pandey et al., (2007) and Nand and Anuradha (2013) for branches per plant, Rao et al., (2006), Makeen et al., (2007) and Kumhar and Choudhary (2007) for 100 seed weight. Mehta et al., (2019) for number of branches per plant. Lowest PCV and GCV estimates were obtained for days to 50% flowering, pod length and days to maturity. These results are in correspondence with Rao et al., (2006), Makeen et al., (2007), Kumhar and Choudhary (2007), Nand and Anuradha (2013), Zuge et al., (2019) and Asari et al., (2019) for days to 50% flowering and days to maturity. Perera et al., (2017) for days to maturity. The results obtained for PCV and GCV showed that there is considerable possibility of further improvement and by appropriate selection for these characters and development of high yielding variety can take place. Low  values  of  genotypic  and  phenotypic coefficient of variation were noted for pod yield, days to maturity and  days to 50% flowering which indicated  low range of variation for these characters in the genotypes, thus offering little  scope for further  improvement of these characters  through  simple selection. 
 
Heritability broad sense (h2)
 
The heritability broad sense (h2) ranged from 23.00 per cent (days to maturity) to 99.60 per cent (number of pods per plant). High heritability was observed in number of pods per plant (99.6), seed yield per plant (97.5), number of clusters per plant (96.8), number of pods per cluster (96.80), number of seeds per pod (89.50), plant height (87.8), number of branches per plant (86.5). Moderate heritability was observed in pod length (57.2), hundred seed weight (47.9), days to initial flowering (41.07), days to 50% flowering (35.5). Low heritability was observed for days to maturity (23.0) (Table 2).
 
Similar results were reported by Natarajan et al., (1988), Saxena and Singh (2007). Hemavathy et al., (2015), Garg et al., (2017) for plant height, seed yield per plant and number of pods per plant. Mehendi et al., (2018) for number of pods per cluster, seed yield per plant. Zuge et al., (2019) reported high heritability for plant height, number of pods per plant and similarly moderate values were recorded for pod length. Asari et al., (2019) reported high heritability for plant height, number of pods per plant, number of branches per plant, number of pods per cluster, number of cluster per plant, number of pods per plant, number of seeds per pod and seed yield per plant. These results are in correspondence with the findings of Reddy et al., (2003) and Makeen et al., (2007). For reliable selection high heritability of a character needs to be accompanied by high genetic advance (Johnson et al., 1955) because such characters are mostly controlled by additive gene action. Similar results were obtained by the presence of high heritability indicates preponderance of additive gene action in expression of these traits and they can be improved through individual plant selection.
 
Genetic advance
 
A perusal of genetic advance for all the quantitative traits under study ranged from 0.45 per cent (hundred seed weight) to 15.95 per cent (number of pods per plant). Moderate genetic advance was expressed by number of pods per plant (15.95) and remaining parameters observed low genetic advance that is plant height (6.60), number of cluster per plant (3.57), number of seed per plant (3.36), number of pods per cluster (3.18), days to maturity (3.13), days to first flowering (2.75), days to 50% flowering (2.43), seed yield per plant (2.33), number of branches per plant (0.97), pod length (0.74) and hundred seed weight (0.45). (Table 2). Similar results were observed by Nand and Anuradha (2013) and Malli et al., (2018) for days to initial flowering, days to 50% flowering, days to full maturity, 100 seed weight and pod length. Raturi et al., (2015) for plant height and number of branches per plant.
 
Genetic advance as percent of mean (GAM)
 
 A perusal of genetic advance for all the quantitative traits under study ranged from 4.24 per cent (days to maturity) to 94.94 per cent (number of pods per plant). High genetic advance was observed for the traits i.e. number of pods per plant (94.94 per cent), seed yield per plant (77.51), number of pods per cluster (65.93), number of clusters per plant (57.78), number of seeds per pod (32.65), number of branches per plant (27.82) and plant height (24.25). Moderate GAM was observed in hundred seed weight (13.60), pod length (10.18). Days to initial flowering (6.22), days to 50% flowering (5.15) and days to maturity (4.24) expressed low GAM. (Table 2).
 
Similar results were observed by Manivannan et al., (1996), Pandiyan et al., (2006). Nand and Anuradha (2013) for number of pods per plant, number of seeds per pod, seed yield per plant. Hemavathy et al., (2015) for plant height, days to 50% flowering, days to maturity, number of cluster per plant, number of pods per cluster, number of pods per plant, hundred seed weight and seed yield per plant. Asari et al., (2019) for seed yield per plant, number of pods per plant, number of clusters per plant, number of branches per plant and plant height.
 
High heritability estimates coupled with high or moderate genetic advance was observed for number of branches per plant, number of pods per cluster, number of cluster per plant, number of pods per plant, number of seeds per pod, plant height and seed yield per plant. Similar results were reported by Baisakh et al., (2016) for plant height and pods per plant. Muthuswamy et al., (2019) for plant height, number of branches per plant, number of pod per plant, and seed yield per plant. Pavan et al., (2019) for pods per plant, seed yield per plant, plant height and number of branches per plant. Asari et al., (2019) for plant height, number of branches per plant, number of cluster per plant, number of pods per plant and seed yield per plant.

CONCLUSION

The results from the present investigation concludes that significant differences recorded for all the characters among the RIL population included in the study, indicating presence of sufficient variation among them. On the basis of obtained results from this experiment it can be concluded that on the basis of high PCV, GCV, high heritability along with high genetic advance as per cent of mean for the traits i.e. single plant yield, number of pods per plant, number of clusters per plant and number of pods per cluster can be used as selection criteria in future breeding program. Hence these RILs can be used for crop improvement. The present findings will contribute to future breeding strategies aimed to incorporate resistance and high yield in green gram.
 

REFERENCES


  1. Anand, G., Anandhi, K. and Paulpandi, V.K. (2016). Genetic variability, correlation and path analysis for yield and yield components in F6 families of greengram [Vigna radiata (L.) Wilczek] under rainfed condition. Electron. J. Plant Breed. 7: 434-437.

  2. Arumuganathan, K. and Earle, E.D. (1991). Nuclear DNA content of some important plant species. Plant Molecular Biology Reporter. 9(3): 208-218.

  3. Asari, T., Patel, B.N., Patel, R., Patil, G.B and Solanki, C. (2019). Genetic variability, correlation and path coefficient analysis of yield and yield contributing characters in mungbean [Vigna radiata (L.) Wilczek]. International Journal of Chemical Studies. 7(4): 383-387.

  4. Azam, M.G., Hossain, M.A., Alam, M.S., Rahman, K.S. and Hossain, M. (2018). Genetic variability, heritability and correlation path analysis in mungbean [Vigna radiata (L.) wilczek]. Bangladesh Journal of Agricultural Research. 43(3): 407-416.

  5. Baisakh, B., Swain, S.C., Panigrahi, K.K., Das, T.R. and Mohanty, A. (2016). Estimation of genetic variability and character association in micro mutant lines of greengram [Vigna radiata (L.) Wilczek] for yield attributes and cold tolerance. Legume Genomics and Genetics, 7.

  6. Burton, G.W. and Devane, D.E. (1953). Estimating heritability in tall fescue (Festuca    arundinacea) from replicated clonal material. Agronomy Journal. 45(10): 478-481.

  7. Dhoot, R., Modha, K.G., Kumar, D and Dhoot, M. (2017). Correlations and Path Analysis Studies on Yield and its Components in Mungbean [Vigna radiata (L.) Wilczek]. Int. J. Curr. Microbiol. App. Sci. 6(5): 370- 378.

  8. Fisher, R.A. (1936). Design of experiments. Br. Med. J.1. (3923): 554-554.

  9. Garg, G.K., Verma, P.K. and Kesh, H. (2017). Genetic Variability, Correlation and Path Analysis in Mungbean [Vigna radiata (L.) Wilczek]. International Journal of Current Microbiology and Applied Sciences. 6(11): 2166-2173.

  10. Garg, G.K., Verma, P.K., Kesh, H. and Kumar, A. (2017). Genetic variability, character association and genetic divergence for seed quality traits in mungbean [Vigna radiata (L.) Wilczek]. Indian Journal of Agricultural Research. 51(6): 521-528.

  11. Hemavathy, A.T., Shunmugavalli, N. and Anand, G. (2015). Genetic variability, correlation and path co-efficient studies on yield and its components in mungbean [Vigna radiata (L.) Wilezek]. Legume Res. 38 (4): 442-446.

  12. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Genotypic and phenotypic correlation in soybean and their implications in selection. Agronomy Journal. 47: 477-483.

  13. Khajudparn, P. and Tantasawat, P. (2011). Relationships and variability of agronomic and physiological characters in mungbean. Afr. J. Biotechnol. 10(49): 9992-10000.

  14. Kumhar, S.R. and Chaudhary, B.R. (2007). Genetic diversity and variability in Mungbean [Vigna radiata (L.) Wilczek]. J. Plant Genet. Resour. 20(2): 203-208.

  15. Makeen, K., Abrahim, G., Jan, A. and Singh, A.K. (2007). Genetic variability and correlations studies on yield and its components in mungbean [Vigna radiata (L.) Wilezek]. J. Agron. 6(1): 216-218. 

  16. Malli, S.R., Lavanya, G.R and Nikhil, B.S.K. (2018). Genetic variability, heritability and genetic advance in mungbean [Vigna radiata (L.) Wilczek] genotypes. Green Farming. 9(2): 235-238.

  17. Manivannan, N., Ramoorthi, N. and Nadarajan. (1996). Genetic variability in green gram. Madras Agricultural Journal. 83: 770-771.

  18. Mehandi, S., Mishra, S.P., Tripathi, R.C. and Singh, I.P. (2018). Genetic variability, heritability and genetic advance for yield and its related traits in mungbean [Vigna radiata (L.) Wilczek] genotypes. International Journal of Current Microbiology and Applied Sciences. 3818-3824.

  19. Mehta, C.M. (2019). Estimation of variability through genetic parameters and identification of superior pure lines for yield attributing traits in green gram [Vigna radiata (L.)]. 8(3): 55-61.

  20. Muthuswamy, A., Jamunarani, M. and Ramakrishnan, P. (2019). Genetic Variability, Character Association and Path Analysis Studies in Green Gram [Vigna radiata (L.) Wilczek]. Int. J. Curr. Microbiol. App. Sci. 8(04): 1136-1146.

  21. Nand, M.J. and Anuradha, C. (2013). Genetic variability, correlation and path analysis for yield and yield components in mungbean [Vigna radiata (L.) Wilczec]. J. Res. ANGRAU. 41: 31-39.

  22. Natarajan, C., Thiyagarajan, K. and Rathnaswamy, R. (1988). Association and genetic diversity studies in green gram [Vigna radiata (L.) Wilczek]. Madras Agric. J. 75(7-8): 238-245.

  23. Pandey, M.K., Srivastava, N. and Kole, C.R. (2007). Selection strategy for augmentation of seed yield in mungbean [Vigna radiate (L.) Wilczek]. Legume Res. 30(4): 243-249.

  24. Pandiyan, M., Subbalakshmi, B. and Jebaraj, S. (2006). Genetic variability in greengram. International Journal of Plant Sciences. 1(1): 72-75.

  25. Parimala, N.K., Harinikumar, K.M., Savitramma, D.L., Sritama, K. and Shailja, C. (2020). Genetic variability and correlation studies on yield and yield related attributes in mungbean [Vigna radiata (L.) Wilczek]. Mysore Journal of Agricultural Sciences. 54(1): 15-19.

  26. Pavan, K., Reddy, P. and Mehta. C.M. (2019). Estimation of variability through genetic parameters and identification of superior pure lines for yield attributing traits in green gram [Vigna radiata (L.)]. Journal of Pharmacognosy and Phytochemistry. 3: 55-61.

  27. Perera, U.I.P., Chandika, K.K.J. and Ratnasekera, D. (2017). Genetic variation, character association and evaluation of mungbean genotypes for agronomic and yield components. Journal of the National Science Foundation of Sri Lanka. 45(4): 347-353.

  28. Rao, C.M., Rao, Y.K. and Reddy, M. (2006). Genetic variability and path analysis in Mungbean. Legume Res. 29(3): 216-218.

  29. Raturi, A., Singh, S.K., Sharma, V. and Pathak, R. (2015). Genetic variability, heritability, genetic advance and path analysis in mungbean [Vigna radiata (L.) Wilczek]. Legume Research. 38(2): 157-163.

  30. Reddy, D. Kodanda, R., Venkateswarlu, O., Obaiah, M.C. and Jyothi, S.G.L. (2011). Studies on genetic variability, character association and path co-efficient analysis in green gram. Legume Res. 34(3): 202-206.

  31. Reddy, V.L.N., Reddisekhar, M., Reddy, K.R. and Reddy, K.H. (2003). Genetic variability for yield and its components in mungbean, [Vigna radiata (L.) Wilczek]. Legume Research. 26(4): 300-302.1852.

  32. Saxena, R.R., Singh, P.K. and Saxena, R.R. (2007). Correlation and path analysis in Mungbean cultivars [Vigna radiata (L.) Wilczek]. J. Interacademicia. 11(2): 143-148. 

  33. Singh, A., Singh, S.K., Sirohi, A. and Yadav, R. (2009). Genetic variability and correlation studies in green gram [Vigna radiata (L.) Wilczek]. Progress. Agric. 9(1): 59-62.

  34. Srivastava, R.P. and Ali, M. (2004). Nutritional quality of common pulses. Indian Institute of Pulse Research.

  35. Talukdar, N., Borah, H.K. and Sarma, R.N. (2020). Genetic Variability of Traits Related to Synchronous Maturity in Greengram [Vigna radiata (L.) Wilczek]. Int. J. Curr. Microbiol. App. Sci. 9(1): 1120-1133.

  36. Vavilov, N.I. (1926). Centers of origin of cultivated plants. Bull. Appl. Bot. 26: 1-248.

  37. Zuge Sopan, S. and Sao Abhinav, T.N.A. (2019). Genetic variability of yield and yield related traits in mungbean [Vigna radiata (L.) Wilczek] genotypes. Agric. Res. J. 56(1): 163-165. 
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)